Senior Data Modeler

Key responsibilities

• Design, develop, and maintain comprehensive data models that support account and relationship management processes across banking and financial services platforms
• Translate business requirements and use cases into logical and physical data models, ensuring accuracy, scalability, and optimal performance
• Collaborate with business analysts, software architects, and database administrators to understand data requirements and implement solutions that meet organisational standards
• Conduct data quality assessments and implement validation rules to ensure consistency and reliability of financial and customer data
• Document data models, data dictionaries, and technical specifications in clear and comprehensive formats for stakeholder communication
• Optimise existing data models to improve query performance, reduce storage costs, and enhance system efficiency
• Provide technical guidance and mentoring to junior data modellers and support teams on data modelling best practices
• Stay current with emerging data modelling tools, technologies, and methodologies in the banking and financial services sector
• Participate in code reviews and ensure adherence to data governance policies and regulatory compliance requirements
• Support the migration and integration of data across multiple systems and platforms

What we're looking for

• 8+ years of professional experience in data modelling, with substantial exposure to banking, financial services, or related industries
• Advanced proficiency in data modelling tools and methodologies, such as ERwin, Toad Data Modeler, or equivalent platforms
• Expert-level knowledge of relational database design, normalisation techniques, and SQL query optimisation
• Strong understanding of account and relationship management systems, customer data platforms, or core banking systems
• Demonstrated experience with dimensional modelling, data warehousing, and business intelligence architectures
• Solid grasp of data governance, data quality frameworks, and regulatory compliance requirements (such as Basel III, GDPR, or local regulatory standards)
• Excellent analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions
• Proven ability to lead and mentor junior team members, fostering a collaborative and knowledge-sharing environment
• Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders
• Familiarity with cloud-based data platforms (AWS, Azure, or Google Cloud) is highly desirable
• Exposure to Agile development methodologies and experience working in fast-paced, dynamic environments